DATE: September 18, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar As organizations embrace data democratization, ensuring effective data and AI governance becomes increasingly complex. This webinar will explore strategies for balancing open data access with robust governance practices that protect data […]
Oct 9 AArch Webinar: From Pre-Trained to Fine-Tuned – How to Get the Most Out of Vector, RAG, and Small Language Models
DATE: October 9, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar The landscape of AI models is rapidly evolving, with vector databases, retrieval-augmented generation (RAG), and small language models offering unprecedented flexibility and efficiency. This hands-on session will demystify the process of […]
Oct 14 Data-Ed Webinar: Data Strategy – Where Data Architecture and Data Governance Collide
DATE: October 14, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar While “collide” is perhaps a strong term to use to describe the key area where data architecture and data governance interact, it does provide motivation to perhaps calm the traffic […]
Oct 15 DATAVERSITY Demo Day – Data Ops/Data Integration
DATE: October 15, 2025 TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 PM Eastern PRICE: Free to all attendees Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the […]
Oct 16 RWDG Webinar: The Role of Data Governance in Facilitating AI and Digital Transformation
DATE: October 16, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is sponsored by: and About the Webinar Data governance is critical to the success of AI and digital transformation initiatives. In this webinar, you’ll learn how to leverage governance principles to support […]
Nov 11 Data-Ed Webinar: Maximizing the Value of Your Data Warehouse – A Strategic Approach to Business Intelligence and Innovation
DATE: November 11, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Regardless of whether your data warehouse is cloud-based or not, it likely contains a wealth of well-organized data. It’s beneficial to periodically collaborate with your data governance team to reassess […]
Nov 13 AArch Webinar: Designing a Data Platform for the Future – Principles, Patterns, and Best Practices for Data Fabrics and Data Meshes
DATE: November 13, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar As data complexity continues to grow, modern architectures like data fabrics and data meshes are emerging as powerful paradigms for managing distributed, decentralized data ecosystems. This […]
Nov 19 DATAVERSITY Demo Day – AI Governance
DATE: November 19, 2025 TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 PM Eastern PRICE: Free to all attendees Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the […]
Nov 20 RWDG Webinar: Advanced Techniques for Metadata-Driven Data Governance
DATE: November 20, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Metadata is a key enabler of data governance, and advanced techniques are needed to unlock its full potential. This webinar will explore cutting-edge methods for leveraging metadata to drive better governance […]
Dec 9 Data-Ed Webinar: Data Management Best Practices
DATE: December 9, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Data management best practices exist – and so does a useful process for improving existing data management practices. The question arises: Since we understand the goal, how does one design […]